Senior Software Engineer (Java)

TL;DR

Senior Software Engineer (Java): Building and optimizing a globally scalable AI-native controls platform for the financial sector with an accent on high-load distributed systems and architectural ownership. Focus on leveraging agentic AI tools for software engineering, designing microservices, and ensuring system reliability in mission-critical environments.

Location: Hybrid in Toronto or Montreal (1 day/week in office) or Remote for candidates based in Canada

Company

A cloud-native AI company providing an integrated controls and surveillance platform for global banks, asset managers, and other financial institutions.

What you will do

• Lead high-level design for complex cross-service features and maintain architecture documentation (ADRs, tech specs).
• Own and implement critical product components using Java and Spring, ensuring high performance and maintainability.
• Drive the engineering agenda for assigned product areas and contribute to the technical roadmap and hiring process.
• Coordinate technical communication across engineering, product, DevOps, and ML teams.
• Direct agentic AI tools (Claude Code, Codex) across the full engineering workflow to amplify productivity.

Requirements

• Expertise in Java internals (GC tuning, concurrency, NIO) and mastery of the Spring Framework.
• Strong experience with microservices, gRPC, distributed transaction management, and CQRS.
• Experience designing high-availability systems on GCP, AWS, or Azure using Terraform.
• Practitioner-level command of agentic AI tools and advanced prompt engineering.
• Must be based in Canada

Culture & Benefits

• Competitive cash compensation and equity awards.
• Comprehensive health insurance for employees and their families.
• Generous time-off policy of 30 days annually plus public holidays.
• High-performance culture focused on speed, experimentation, and technical excellence.
• Modern offices in downtown Toronto and Montreal.

Hiring process

• Series of interviews focused on technical expertise and engineering judgment.
• Live technical exercise to validate competencies and problem-solving speed.
• In-person interviews preferred wherever possible.